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A Wireless Intrusion Detection System for 802.11 networks
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap. (PriSec)ORCID-id: 0000-0001-9886-6651
Integrated Operations, ABB AS, Norway.
(Integrated Operations, ABB AS, Norway)
ABB Corporate Research, ABB AS, Norway.
2016 (engelsk)Inngår i: PROCEEDINGS OF THE 2016 IEEE INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, SIGNAL PROCESSING AND NETWORKING (WISPNET), IEEE conference proceedings, 2016, s. 828-834Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Wireless local area networks (WLANs) deployment is increasing rapidly. At the same time, WLANs have become an attractive target for many potential attackers. In spite of that, the de facto standard used to implement most WLANs (IEEE 802.11) has what appear to be residual vulnerabilities related to identity spoofing. In this paper, a pragmatic study of two common attacks on the standard is conducted. These attacks are then implemented on test beds to learn attack behavior. Finally, novel attack signatures and techniques to detect these attacks are devised and implemented in a proof of concept Wireless Intrusion Detection System (WIDS).

sted, utgiver, år, opplag, sider
IEEE conference proceedings, 2016. s. 828-834
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
URN: urn:nbn:se:kau:diva-46218DOI: 10.1109/WiSPNET.2016.7566249ISI: 000388601800172ISBN: 978-1-4673-9338-6 (tryckt)OAI: oai:DiVA.org:kau-46218DiVA, id: diva2:971987
Konferanse
International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), Chennai, India, 23-25 March 2016
Tilgjengelig fra: 2016-09-19 Laget: 2016-09-19 Sist oppdatert: 2018-01-10bibliografisk kontrollert

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Totalt: 581 treff
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